中文摘要：

三维高频风速波动特性的研究对于全面、深入地揭示复杂风场流动及演化规律具有重要价值。采用多重分形消除趋势波动分析（MF—DFA）对高性能超声波风速传感器采集的三维风速时间序列进行波动特性分析。研究表明：水平风速和竖直风速均具有多重分形特性,但有着不同的波动结构,在竖直方向上的波动结构要更为复杂;水平方向风速信号的多重分形特性由长程相关性造成,与概率分布关系不大,而竖直方向上风速信号的多重分形特性与长程相关性和概率分布均存在一定的关联。

英文摘要：

Study on fluctuation characteristics of 3D high-frequency wind speed time sequence has an important value for revealing the laws of complex wind field flow and evolution. Multifractal detrended fluctuation analysis（ MF—DFA） is applied to analyze fluctuation characteristics of 3D wind speed time sequence measured by highproperty ultrasonic anemometer. Research shows that both horizontal and vertical wind signals exhibit multifractal features,but have different fluctuation structures. Vertical fluctuation structures are much more complex than the horizontal ones. The multifractality in horizontal wind signals is due to the long-range correlations rather than the probability density. While long-range correlations and the probability density both affect on multifractality in vertical wind signal.